Ubs Etracs Etf Market Value
| WTID Etf | USD 15.15 0.17 1.11% |
| Symbol | UBS |
The market value of UBS ETRACS is measured differently than its book value, which is the value of UBS that is recorded on the company's balance sheet. Investors also form their own opinion of UBS ETRACS's value that differs from its market value or its book value, called intrinsic value, which is UBS ETRACS's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because UBS ETRACS's market value can be influenced by many factors that don't directly affect UBS ETRACS's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between UBS ETRACS's value and its price as these two are different measures arrived at by different means. Investors typically determine if UBS ETRACS is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, UBS ETRACS's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
UBS ETRACS 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to UBS ETRACS's etf what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of UBS ETRACS.
| 02/27/2024 |
| 11/23/2024 |
If you would invest 0.00 in UBS ETRACS on February 27, 2024 and sell it all today you would earn a total of 0.00 from holding UBS ETRACS or generate 0.0% return on investment in UBS ETRACS over 270 days. UBS ETRACS is related to or competes with DB Gold, DB Gold, ProShares UltraShort, and ProShares UltraShort. The investment seeks to provide a three times leveraged inverse exposure to changes in the level of the Bloomberg WTI Cr... More
UBS ETRACS Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure UBS ETRACS's etf current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess UBS ETRACS upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.08) | |||
| Maximum Drawdown | 20.79 | |||
| Value At Risk | (5.57) | |||
| Potential Upside | 5.96 |
UBS ETRACS Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for UBS ETRACS's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as UBS ETRACS's standard deviation. In reality, there are many statistical measures that can use UBS ETRACS historical prices to predict the future UBS ETRACS's volatility.| Risk Adjusted Performance | (0.03) | |||
| Jensen Alpha | 0.0926 | |||
| Total Risk Alpha | (0.79) | |||
| Treynor Ratio | 0.0794 |
UBS ETRACS Backtested Returns
UBS ETRACS owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0155, which indicates the etf had a -0.0155% return per unit of standard deviation over the last 3 months. UBS ETRACS exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate UBS ETRACS's Market Risk Adjusted Performance of 0.0894, standard deviation of 3.87, and Risk Adjusted Performance of (0.03) to confirm the risk estimate we provide. The entity has a beta of -2.24, which indicates a somewhat significant risk relative to the market. As returns on the market increase, returns on owning UBS ETRACS are expected to decrease by larger amounts. On the other hand, during market turmoil, UBS ETRACS is expected to outperform it.
Auto-correlation | -0.33 |
Poor reverse predictability
UBS ETRACS has poor reverse predictability. Overlapping area represents the amount of predictability between UBS ETRACS time series from 27th of February 2024 to 11th of July 2024 and 11th of July 2024 to 23rd of November 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of UBS ETRACS price movement. The serial correlation of -0.33 indicates that nearly 33.0% of current UBS ETRACS price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.33 | |
| Spearman Rank Test | -0.01 | |
| Residual Average | 0.0 | |
| Price Variance | 2.27 |
UBS ETRACS lagged returns against current returns
Autocorrelation, which is UBS ETRACS etf's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting UBS ETRACS's etf expected returns. We can calculate the autocorrelation of UBS ETRACS returns to help us make a trade decision. For example, suppose you find that UBS ETRACS has exhibited high autocorrelation historically, and you observe that the etf is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
UBS ETRACS regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If UBS ETRACS etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if UBS ETRACS etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in UBS ETRACS etf over time.
Current vs Lagged Prices |
| Timeline |
UBS ETRACS Lagged Returns
When evaluating UBS ETRACS's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of UBS ETRACS etf have on its future price. UBS ETRACS autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, UBS ETRACS autocorrelation shows the relationship between UBS ETRACS etf current value and its past values and can show if there is a momentum factor associated with investing in UBS ETRACS .
Regressed Prices |
| Timeline |
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.When determining whether UBS ETRACS is a good investment, qualitative aspects like company management, corporate governance, and ethical practices play a significant role. A comparison with peer companies also provides context and helps to understand if UBS Etf is undervalued or overvalued. This multi-faceted approach, blending both quantitative and qualitative analysis, forms a solid foundation for making an informed investment decision about Ubs Etracs Etf. Highlighted below are key reports to facilitate an investment decision about Ubs Etracs Etf:Check out UBS ETRACS Correlation, UBS ETRACS Volatility and UBS ETRACS Alpha and Beta module to complement your research on UBS ETRACS. You can also try the Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .
UBS ETRACS technical etf analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, etf market cycles, or different charting patterns.